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Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.
| Version: | 1.1.5 |
| Depends: | sfsmisc |
| Suggests: | randomForest, MASS |
| Published: | 2022-08-22 |
| DOI: | 10.32614/CRAN.package.ICEbox |
| Author: | Alex Goldstein, Adam Kapelner, Justin Bleich |
| Maintainer: | Adam Kapelner <kapelner at qc.cuny.edu> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Citation: | ICEbox citation info |
| Materials: | ChangeLog |
| In views: | MachineLearning |
| CRAN checks: | ICEbox results |
| Reference manual: | ICEbox.pdf |
| Package source: | ICEbox_1.1.5.tar.gz |
| Windows binaries: | r-devel: ICEbox_1.1.5.zip, r-release: ICEbox_1.1.5.zip, r-oldrel: ICEbox_1.1.5.zip |
| macOS binaries: | r-release (arm64): ICEbox_1.1.5.tgz, r-oldrel (arm64): ICEbox_1.1.5.tgz, r-release (x86_64): ICEbox_1.1.5.tgz, r-oldrel (x86_64): ICEbox_1.1.5.tgz |
| Old sources: | ICEbox archive |
| Reverse suggests: | pdp |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.